Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Bulletin of the American Physical Society

Closing the Gap Between Quantum Algorithms and Hardware through Software-Enabled Vertical Integration and Co-Design

Frederic T. Chong

Published Mar 5, 2018• 3 citations
OpenAlex

Related papers

Closing the gaps in Quantum Computing: Co-Development and Co-Design

IQM Quantum Engineers

Digitale Welt•Mar 8, 2021•2 citations

Quantum Computing Software in the NISQ Era: Architectural Evolution, Framework Benchmarking, and Software-Hardware Co-design

Rujia Qiu, Teng Tian, Wangchao Dong +3 more

International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE)•Jun 1, 2026•0 citations

A Hardware-Software Co-Design Framework for Spatial and Temporal Optimization in Distributed Quantum Architectures

Raymond P. H. Wu

IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW)•Jun 1, 2026•0 citations

Exploring the full-stack design space of quantum computing

In-depth analysis shows that co-designing hardware and software is essential for optimising quantum performance.

Europhysics news•Jan 1, 2026•0 citations

Introducing Design Automation for Quantum Computing

Alwin Zulehner, Robert Wille

Springer eBooks•Jan 1, 2020•18 citations

Full-stack quantum computing systems in the NISQ era: algorithm-driven and hardware-aware compilation techniques

Medina Bandić, Sebastian Feld, Carmen G. Almudéver

The progress in developing quantum hardware with functional quantum processors integrating tens of noisy qubits, together with the availability of near-term quantum algorithms has led to the release of the first quantum computers. These quantum computing systems already integrate different software and hardware components of the so-called “full-stack”, bridging quantum applications to quantum devices. In this paper, we will provide an overview on current full-stack quantum computing systems. We will emphasize the need for tight co-design among adjacent layers as well as vertical cross-layer design to extract the most from noisy intermediate-scale quantum (NISQ) processors which are both error-prone and severely constrained in resources. As an example of co-design, we will focus on the development of hardware-aware and algorithm-driven compilation techniques.

arXiv:2204.06369•Design, Automation, and Test in Europe•Mar 14, 2022•30 citations
The progress in developing quantum hardware with functional quantum processors integrating tens of noisy qubits, together with the availability of near-term quantum algorithms has led to the release of the first quantum computers. These quantum computing systems already integrate different software and hardware components of the so-called “full-stack”, bridging quantum applications to quantum devices. In this paper, we will provide an overview on current full-stack quantum computing systems. We will emphasize the need for tight co-design among adjacent layers as well as vertical cross-layer design to extract the most from noisy intermediate-scale quantum (NISQ) processors which are both error-prone and severely constrained in resources. As an example of co-design, we will focus on the development of hardware-aware and algorithm-driven compilation techniques.